conftrace_

Mathematics & Optimization

19,283 papers (0 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (14,850) Mathematics (6,356) Probability (617) Statistics (361) Discrete Mathematics (23)

Papers per year

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8

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8

24

100

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125

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182

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311

530

574

599

676

880

1,053

1,491

1,739

1,880

1,904

2,070

2,345

1,785

517

2000

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Papers (including subtopics)

Invariant subspaces and PCA in nearly matrix multiplication time NeurIPS 2024 Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions NeurIPS 2024 Inversion-based Latent Bayesian Optimization NeurIPS 2024 Investigation into Training Dynamics of Learned Optimizers (Student Abstract) AAAI 2024 I/O Complexity of Attention, or How Optimal is FlashAttention? ICML 2024 Is Cross-validation the Gold Standard to Estimate Out-of-sample Model Performance? NeurIPS 2024 Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interactions NeurIPS 2024 Is Score Matching Suitable for Estimating Point Processes? NeurIPS 2024 Is Temperature Sample Efficient for Softmax Gaussian Mixture of Experts? ICML 2024 Iterated Denoising Energy Matching for Sampling from Boltzmann Densities ICML 2024 Iterated INLA for State and Parameter Estimation in Nonlinear Dynamical Systems UAI 2024 Iterative Methods via Locally Evolving Set Process NeurIPS 2024 Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery AAAI 2024 ItiNera: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning EMNLP 2024 Ito Diffusion Approximation of Universal Ito Chains for Sampling, Optimization and Boosting ICLR 2024 John Ellipsoids via Lazy Updates NeurIPS 2024 Jolteon: Unleashing the Promise of Serverless for Serverless Workflows NSDI 2024 Just Wing It: Near-Optimal Estimation of Missing Mass in a Markovian Sequence JMLR 2024 KD-Club: An Efficient Exact Algorithm with New Coloring-Based Upper Bound for the Maximum k-Defective Clique Problem AAAI 2024 Kernel-Based Evaluation of Conditional Biological Sequence Models ICML 2024 Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm NeurIPS 2024 Kernel Debiased Plug-in Estimation: Simultaneous, Automated Debiasing without Influence Functions for Many Target Parameters ICML 2024 Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization AAAI 2024 Kernel Semi-Implicit Variational Inference ICML 2024 Kernel Thinning JMLR 2024